Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 4237 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 529.8 KiB |
| Average record size in memory | 128.0 B |
Variable types
| Categorical | 8 |
|---|---|
| Numeric | 8 |
currentSmoker is highly correlated with cigsPerDay | High correlation |
cigsPerDay is highly correlated with currentSmoker | High correlation |
prevalentHyp is highly correlated with sysBP and 1 other fields | High correlation |
diabetes is highly correlated with glucose | High correlation |
sysBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
diaBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
glucose is highly correlated with diabetes | High correlation |
currentSmoker is highly correlated with cigsPerDay | High correlation |
cigsPerDay is highly correlated with currentSmoker | High correlation |
prevalentHyp is highly correlated with sysBP and 1 other fields | High correlation |
sysBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
diaBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
currentSmoker is highly correlated with cigsPerDay | High correlation |
cigsPerDay is highly correlated with currentSmoker | High correlation |
prevalentHyp is highly correlated with sysBP and 1 other fields | High correlation |
sysBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
diaBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
glucose is highly correlated with diabetes | High correlation |
currentSmoker is highly correlated with cigsPerDay | High correlation |
diabetes is highly correlated with glucose | High correlation |
prevalentHyp is highly correlated with diaBP and 1 other fields | High correlation |
diaBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
sysBP is highly correlated with prevalentHyp and 1 other fields | High correlation |
cigsPerDay is highly correlated with currentSmoker | High correlation |
cigsPerDay has 2144 (50.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-19 18:43:50.886436 |
|---|---|
| Analysis finished | 2021-07-19 18:44:03.278289 |
| Duration | 12.39 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
Sex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2419 | |
| 1 | 1818 |
age
Real number (ℝ≥0)
| Distinct | 39 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.58154354 |
| Minimum | 32 |
|---|---|
| Maximum | 70 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 32 |
|---|---|
| 5-th percentile | 37 |
| Q1 | 42 |
| median | 49 |
| Q3 | 56 |
| 95-th percentile | 64 |
| Maximum | 70 |
| Range | 38 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 8.570309619 |
|---|---|
| Coefficient of variation (CV) | 0.1728528199 |
| Kurtosis | -0.988951626 |
| Mean | 49.58154354 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.2284151287 |
| Sum | 210077 |
| Variance | 73.45020697 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=39)
| Value | Count | Frequency (%) |
| 40 | 191 | 4.5% |
| 46 | 182 | 4.3% |
| 42 | 180 | 4.2% |
| 41 | 174 | 4.1% |
| 48 | 173 | 4.1% |
| 39 | 169 | 4.0% |
| 44 | 166 | 3.9% |
| 45 | 162 | 3.8% |
| 43 | 159 | 3.8% |
| 52 | 149 | 3.5% |
| Other values (29) | 2532 |
| Value | Count | Frequency (%) |
| 32 | 1 | < 0.1% |
| 33 | 5 | 0.1% |
| 34 | 18 | 0.4% |
| 35 | 42 | 1.0% |
| 36 | 84 | |
| 37 | 92 | |
| 38 | 144 | |
| 39 | 169 | |
| 40 | 191 | |
| 41 | 174 |
| Value | Count | Frequency (%) |
| 70 | 2 | < 0.1% |
| 69 | 7 | 0.2% |
| 68 | 18 | 0.4% |
| 67 | 45 | |
| 66 | 38 | 0.9% |
| 65 | 57 | |
| 64 | 92 | |
| 63 | 110 | |
| 62 | 99 | |
| 61 | 110 |
education
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 1.0 | |
|---|---|
| 2.0 | |
| 3.0 | |
| 4.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 12711 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 1.0 |
| 4th row | 3.0 |
| 5th row | 3.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1824 | |
| 2.0 | 1253 | |
| 3.0 | 687 | 16.2% |
| 4.0 | 473 | 11.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1.0 | 1824 | |
| 2.0 | 1253 | |
| 3.0 | 687 | 16.2% |
| 4.0 | 473 | 11.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 4237 | |
| 0 | 4237 | |
| 1 | 1824 | |
| 2 | 1253 | 9.9% |
| 3 | 687 | 5.4% |
| 4 | 473 | 3.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 8474 | |
| Other Punctuation | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 4237 | |
| 1 | 1824 | |
| 2 | 1253 | 14.8% |
| 3 | 687 | 8.1% |
| 4 | 473 | 5.6% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 4237 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 12711 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 4237 | |
| 0 | 4237 | |
| 1 | 1824 | |
| 2 | 1253 | 9.9% |
| 3 | 687 | 5.4% |
| 4 | 473 | 3.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 12711 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 4237 | |
| 0 | 4237 | |
| 1 | 1824 | |
| 2 | 1253 | 9.9% |
| 3 | 687 | 5.4% |
| 4 | 473 | 3.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 2093 |
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.064943959 |
| Minimum | 0 |
|---|---|
| Maximum | 70 |
| Zeros | 2144 |
| Zeros (%) | 50.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 20 |
| 95-th percentile | 30 |
| Maximum | 70 |
| Range | 70 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 11.90481717 |
|---|---|
| Coefficient of variation (CV) | 1.313280835 |
| Kurtosis | 0.9940249376 |
| Mean | 9.064943959 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.232054394 |
| Sum | 38408.16755 |
| Variance | 141.7246719 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=34)
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 20 | 734 | 17.3% |
| 30 | 217 | 5.1% |
| 15 | 210 | 5.0% |
| 10 | 143 | 3.4% |
| 9 | 130 | 3.1% |
| 5 | 121 | 2.9% |
| 3 | 100 | 2.4% |
| 40 | 80 | 1.9% |
| 1 | 67 | 1.6% |
| Other values (24) | 291 | 6.9% |
| Value | Count | Frequency (%) |
| 0 | 2144 | |
| 1 | 67 | 1.6% |
| 2 | 18 | 0.4% |
| 3 | 100 | 2.4% |
| 4 | 9 | 0.2% |
| 5 | 121 | 2.9% |
| 6 | 18 | 0.4% |
| 7 | 12 | 0.3% |
| 8 | 11 | 0.3% |
| 9 | 130 | 3.1% |
| Value | Count | Frequency (%) |
| 70 | 1 | < 0.1% |
| 60 | 11 | 0.3% |
| 50 | 6 | 0.1% |
| 45 | 3 | 0.1% |
| 43 | 56 | 1.3% |
| 40 | 80 | 1.9% |
| 38 | 1 | < 0.1% |
| 35 | 22 | 0.5% |
| 30 | 217 | |
| 29 | 1 | < 0.1% |
BPMeds
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0.0 | |
|---|---|
| 1.0 | 124 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 12711 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 4113 | |
| 1.0 | 124 | 2.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 4113 | |
| 1.0 | 124 | 2.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 8350 | |
| . | 4237 | |
| 1 | 124 | 1.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 8474 | |
| Other Punctuation | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 8350 | |
| 1 | 124 | 1.5% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 4237 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 12711 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 8350 | |
| . | 4237 | |
| 1 | 124 | 1.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 12711 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 8350 | |
| . | 4237 | |
| 1 | 124 | 1.0% |
prevalentStroke
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 | 25 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 4212 | |
| 1 | 25 | 0.6% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2922 | |
| 1 | 1315 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 | 109 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 4128 | |
| 1 | 109 | 2.6% |
totChol
Real number (ℝ≥0)
| Distinct | 249 |
|---|---|
| Distinct (%) | 5.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 236.7257681 |
| Minimum | 107 |
|---|---|
| Maximum | 696 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 107 |
|---|---|
| 5-th percentile | 170 |
| Q1 | 206 |
| median | 234 |
| Q3 | 262 |
| 95-th percentile | 312 |
| Maximum | 696 |
| Range | 589 |
| Interquartile range (IQR) | 56 |
Descriptive statistics
| Standard deviation | 44.33084805 |
|---|---|
| Coefficient of variation (CV) | 0.1872666774 |
| Kurtosis | 4.215179938 |
| Mean | 236.7257681 |
| Median Absolute Deviation (MAD) | 28 |
| Skewness | 0.8762829319 |
| Sum | 1003007.079 |
| Variance | 1965.224089 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 240 | 85 | 2.0% |
| 220 | 70 | 1.7% |
| 260 | 62 | 1.5% |
| 210 | 61 | 1.4% |
| 232 | 59 | 1.4% |
| 250 | 57 | 1.3% |
| 200 | 56 | 1.3% |
| 230 | 54 | 1.3% |
| 225 | 54 | 1.3% |
| 205 | 53 | 1.3% |
| Other values (239) | 3626 |
| Value | Count | Frequency (%) |
| 107 | 1 | |
| 113 | 1 | |
| 119 | 1 | |
| 124 | 1 | |
| 126 | 1 | |
| 129 | 1 | |
| 133 | 1 | |
| 135 | 2 | |
| 137 | 1 | |
| 140 | 2 |
| Value | Count | Frequency (%) |
| 696 | 1 | < 0.1% |
| 600 | 1 | < 0.1% |
| 464 | 1 | < 0.1% |
| 453 | 1 | < 0.1% |
| 439 | 1 | < 0.1% |
| 432 | 1 | < 0.1% |
| 410 | 3 | |
| 405 | 1 | < 0.1% |
| 398 | 1 | < 0.1% |
| 392 | 1 | < 0.1% |
| Distinct | 234 |
|---|---|
| Distinct (%) | 5.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 132.3429313 |
| Minimum | 83.5 |
|---|---|
| Maximum | 295 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 83.5 |
|---|---|
| 5-th percentile | 104 |
| Q1 | 117 |
| median | 128 |
| Q3 | 144 |
| 95-th percentile | 175 |
| Maximum | 295 |
| Range | 211.5 |
| Interquartile range (IQR) | 27 |
Descriptive statistics
| Standard deviation | 22.03206212 |
|---|---|
| Coefficient of variation (CV) | 0.16647706 |
| Kurtosis | 2.161258192 |
| Mean | 132.3429313 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.146436007 |
| Sum | 560737 |
| Variance | 485.4117613 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 120 | 107 | 2.5% |
| 130 | 102 | 2.4% |
| 110 | 96 | 2.3% |
| 115 | 89 | 2.1% |
| 125 | 88 | 2.1% |
| 124 | 84 | 2.0% |
| 122 | 80 | 1.9% |
| 126 | 73 | 1.7% |
| 128 | 73 | 1.7% |
| 123 | 72 | 1.7% |
| Other values (224) | 3373 |
| Value | Count | Frequency (%) |
| 83.5 | 2 | < 0.1% |
| 85 | 1 | < 0.1% |
| 85.5 | 1 | < 0.1% |
| 90 | 2 | < 0.1% |
| 92 | 1 | < 0.1% |
| 92.5 | 2 | < 0.1% |
| 93 | 2 | < 0.1% |
| 93.5 | 2 | < 0.1% |
| 94 | 3 | |
| 95 | 7 |
| Value | Count | Frequency (%) |
| 295 | 1 | < 0.1% |
| 248 | 1 | < 0.1% |
| 244 | 1 | < 0.1% |
| 243 | 1 | < 0.1% |
| 235 | 1 | < 0.1% |
| 232 | 1 | < 0.1% |
| 230 | 1 | < 0.1% |
| 220 | 2 | |
| 217 | 1 | < 0.1% |
| 215 | 3 |
| Distinct | 146 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.89532688 |
| Minimum | 48 |
|---|---|
| Maximum | 142.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 48 |
|---|---|
| 5-th percentile | 66 |
| Q1 | 75 |
| median | 82 |
| Q3 | 90 |
| 95-th percentile | 104.6 |
| Maximum | 142.5 |
| Range | 94.5 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 11.91163788 |
|---|---|
| Coefficient of variation (CV) | 0.1436949262 |
| Kurtosis | 1.276485169 |
| Mean | 82.89532688 |
| Median Absolute Deviation (MAD) | 7.5 |
| Skewness | 0.713728353 |
| Sum | 351227.5 |
| Variance | 141.887117 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 80 | 262 | 6.2% |
| 82 | 152 | 3.6% |
| 85 | 137 | 3.2% |
| 70 | 135 | 3.2% |
| 81 | 131 | 3.1% |
| 84 | 122 | 2.9% |
| 90 | 119 | 2.8% |
| 78 | 116 | 2.7% |
| 87 | 113 | 2.7% |
| 86 | 107 | 2.5% |
| Other values (136) | 2843 |
| Value | Count | Frequency (%) |
| 48 | 1 | < 0.1% |
| 50 | 1 | < 0.1% |
| 51 | 1 | < 0.1% |
| 52 | 2 | < 0.1% |
| 53 | 1 | < 0.1% |
| 54 | 1 | < 0.1% |
| 55 | 3 | |
| 56 | 2 | < 0.1% |
| 57 | 6 | |
| 57.5 | 3 |
| Value | Count | Frequency (%) |
| 142.5 | 1 | < 0.1% |
| 140 | 1 | < 0.1% |
| 136 | 2 | < 0.1% |
| 135 | 2 | < 0.1% |
| 133 | 2 | < 0.1% |
| 132 | 1 | < 0.1% |
| 130 | 5 | |
| 129 | 1 | < 0.1% |
| 128 | 1 | < 0.1% |
| 127.5 | 1 | < 0.1% |
BMI
Real number (ℝ≥0)
| Distinct | 1363 |
|---|---|
| Distinct (%) | 32.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.80166627 |
| Minimum | 15.54 |
|---|---|
| Maximum | 56.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 15.54 |
|---|---|
| 5-th percentile | 20.06 |
| Q1 | 23.08 |
| median | 25.4 |
| Q3 | 28.03 |
| 95-th percentile | 32.772 |
| Maximum | 56.8 |
| Range | 41.26 |
| Interquartile range (IQR) | 4.95 |
Descriptive statistics
| Standard deviation | 4.0712539 |
|---|---|
| Coefficient of variation (CV) | 0.157790348 |
| Kurtosis | 2.682168382 |
| Mean | 25.80166627 |
| Median Absolute Deviation (MAD) | 2.48 |
| Skewness | 0.9843050542 |
| Sum | 109321.66 |
| Variance | 16.57510832 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 22.19 | 18 | 0.4% |
| 22.54 | 18 | 0.4% |
| 23.48 | 18 | 0.4% |
| 22.91 | 18 | 0.4% |
| 25.09 | 16 | 0.4% |
| 23.09 | 16 | 0.4% |
| 25.23 | 13 | 0.3% |
| 23.1 | 13 | 0.3% |
| 22.73 | 13 | 0.3% |
| 27.73 | 12 | 0.3% |
| Other values (1353) | 4082 |
| Value | Count | Frequency (%) |
| 15.54 | 1 | |
| 15.96 | 1 | |
| 16.48 | 1 | |
| 16.59 | 2 | |
| 16.61 | 1 | |
| 16.69 | 1 | |
| 16.71 | 1 | |
| 16.73 | 1 | |
| 16.75 | 1 | |
| 16.87 | 1 |
| Value | Count | Frequency (%) |
| 56.8 | 1 | |
| 51.28 | 1 | |
| 45.8 | 1 | |
| 45.79 | 1 | |
| 44.71 | 1 | |
| 44.55 | 1 | |
| 44.27 | 1 | |
| 44.09 | 1 | |
| 43.69 | 1 | |
| 43.67 | 1 |
heartRate
Real number (ℝ≥0)
| Distinct | 73 |
|---|---|
| Distinct (%) | 1.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75.87892377 |
| Minimum | 44 |
|---|---|
| Maximum | 143 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 44 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 68 |
| median | 75 |
| Q3 | 83 |
| 95-th percentile | 98 |
| Maximum | 143 |
| Range | 99 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 12.02659635 |
|---|---|
| Coefficient of variation (CV) | 0.158497192 |
| Kurtosis | 0.9074832435 |
| Mean | 75.87892377 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.6444817335 |
| Sum | 321499 |
| Variance | 144.6390198 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75 | 563 | 13.3% |
| 80 | 385 | 9.1% |
| 70 | 305 | 7.2% |
| 60 | 231 | 5.5% |
| 85 | 227 | 5.4% |
| 72 | 222 | 5.2% |
| 65 | 197 | 4.6% |
| 90 | 172 | 4.1% |
| 68 | 151 | 3.6% |
| 100 | 98 | 2.3% |
| Other values (63) | 1686 |
| Value | Count | Frequency (%) |
| 44 | 1 | < 0.1% |
| 45 | 2 | < 0.1% |
| 46 | 1 | < 0.1% |
| 47 | 1 | < 0.1% |
| 48 | 5 | 0.1% |
| 50 | 22 | |
| 51 | 1 | < 0.1% |
| 52 | 17 | |
| 53 | 11 | |
| 54 | 12 |
| Value | Count | Frequency (%) |
| 143 | 1 | < 0.1% |
| 140 | 1 | < 0.1% |
| 130 | 1 | < 0.1% |
| 125 | 3 | 0.1% |
| 122 | 2 | < 0.1% |
| 120 | 7 | 0.2% |
| 115 | 5 | 0.1% |
| 112 | 3 | 0.1% |
| 110 | 36 | |
| 108 | 8 | 0.2% |
| Distinct | 323 |
|---|---|
| Distinct (%) | 7.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.81652858 |
| Minimum | 40 |
|---|---|
| Maximum | 394 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 33.2 KiB |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 62 |
| Q1 | 72 |
| median | 78 |
| Q3 | 86 |
| 95-th percentile | 107 |
| Maximum | 394 |
| Range | 354 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 23.0136147 |
|---|---|
| Coefficient of variation (CV) | 0.2812831967 |
| Kurtosis | 63.17104292 |
| Mean | 81.81652858 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 6.435320143 |
| Sum | 346656.6316 |
| Variance | 529.6264615 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75 | 193 | 4.6% |
| 77 | 168 | 4.0% |
| 73 | 156 | 3.7% |
| 80 | 154 | 3.6% |
| 70 | 152 | 3.6% |
| 78 | 151 | 3.6% |
| 83 | 151 | 3.6% |
| 74 | 142 | 3.4% |
| 76 | 128 | 3.0% |
| 85 | 127 | 3.0% |
| Other values (313) | 2715 |
| Value | Count | Frequency (%) |
| 40 | 2 | < 0.1% |
| 43 | 1 | < 0.1% |
| 44 | 2 | < 0.1% |
| 45 | 4 | |
| 47 | 3 | |
| 48 | 1 | < 0.1% |
| 50 | 3 | |
| 52 | 2 | < 0.1% |
| 53 | 5 | |
| 54 | 5 |
| Value | Count | Frequency (%) |
| 394 | 2 | |
| 386 | 1 | |
| 370 | 1 | |
| 368 | 1 | |
| 348 | 1 | |
| 332 | 1 | |
| 325 | 1 | |
| 320 | 1 | |
| 297 | 1 | |
| 294 | 1 |
TenYearCHD
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 33.2 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 4237 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 4237 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 4237 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4237 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 3594 | |
| 1 | 643 | 15.2% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Sex | age | education | currentSmoker | cigsPerDay | BPMeds | prevalentStroke | prevalentHyp | diabetes | totChol | sysBP | diaBP | BMI | heartRate | glucose | TenYearCHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 39 | 4.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 195.0 | 106.0 | 70.0 | 26.97 | 80.0 | 77.0 | 0 |
| 1 | 0 | 46 | 2.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 250.0 | 121.0 | 81.0 | 28.73 | 95.0 | 76.0 | 0 |
| 2 | 1 | 48 | 1.0 | 1 | 20.0 | 0.0 | 0 | 0 | 0 | 245.0 | 127.5 | 80.0 | 25.34 | 75.0 | 70.0 | 0 |
| 3 | 0 | 61 | 3.0 | 1 | 30.0 | 0.0 | 0 | 1 | 0 | 225.0 | 150.0 | 95.0 | 28.58 | 65.0 | 103.0 | 1 |
| 4 | 0 | 46 | 3.0 | 1 | 23.0 | 0.0 | 0 | 0 | 0 | 285.0 | 130.0 | 84.0 | 23.10 | 85.0 | 85.0 | 0 |
| 5 | 0 | 43 | 2.0 | 0 | 0.0 | 0.0 | 0 | 1 | 0 | 228.0 | 180.0 | 110.0 | 30.30 | 77.0 | 99.0 | 0 |
| 6 | 0 | 63 | 1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 205.0 | 138.0 | 71.0 | 33.11 | 60.0 | 85.0 | 1 |
| 7 | 0 | 45 | 2.0 | 1 | 20.0 | 0.0 | 0 | 0 | 0 | 313.0 | 100.0 | 71.0 | 21.68 | 79.0 | 78.0 | 0 |
| 8 | 1 | 52 | 1.0 | 0 | 0.0 | 0.0 | 0 | 1 | 0 | 260.0 | 141.5 | 89.0 | 26.36 | 76.0 | 79.0 | 0 |
| 9 | 1 | 43 | 1.0 | 1 | 30.0 | 0.0 | 0 | 1 | 0 | 225.0 | 162.0 | 107.0 | 23.61 | 93.0 | 88.0 | 0 |
Last rows
| Sex | age | education | currentSmoker | cigsPerDay | BPMeds | prevalentStroke | prevalentHyp | diabetes | totChol | sysBP | diaBP | BMI | heartRate | glucose | TenYearCHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4227 | 0 | 50 | 1.0 | 0 | 0.0 | 0.0 | 0 | 1 | 1 | 260.0 | 190.0 | 130.0 | 43.67 | 85.0 | 260.000000 | 0 |
| 4228 | 0 | 51 | 3.0 | 1 | 20.0 | 0.0 | 0 | 1 | 0 | 251.0 | 140.0 | 80.0 | 25.60 | 75.0 | 85.736842 | 0 |
| 4229 | 0 | 56 | 1.0 | 1 | 3.0 | 0.0 | 0 | 1 | 0 | 268.0 | 170.0 | 102.0 | 22.89 | 57.0 | 82.052632 | 0 |
| 4230 | 1 | 58 | 3.0 | 0 | 0.0 | 0.0 | 0 | 1 | 0 | 187.0 | 141.0 | 81.0 | 24.96 | 80.0 | 81.000000 | 0 |
| 4231 | 1 | 68 | 1.0 | 0 | 0.0 | 0.0 | 0 | 1 | 0 | 176.0 | 168.0 | 97.0 | 23.14 | 60.0 | 79.000000 | 1 |
| 4232 | 1 | 50 | 1.0 | 1 | 1.0 | 0.0 | 0 | 1 | 0 | 313.0 | 179.0 | 92.0 | 25.97 | 66.0 | 86.000000 | 1 |
| 4233 | 1 | 51 | 3.0 | 1 | 43.0 | 0.0 | 0 | 0 | 0 | 207.0 | 126.5 | 80.0 | 19.71 | 65.0 | 68.000000 | 0 |
| 4234 | 0 | 48 | 2.0 | 1 | 20.0 | 0.0 | 0 | 0 | 0 | 248.0 | 131.0 | 72.0 | 22.00 | 84.0 | 86.000000 | 0 |
| 4235 | 0 | 44 | 1.0 | 1 | 15.0 | 0.0 | 0 | 0 | 0 | 210.0 | 126.5 | 87.0 | 19.16 | 86.0 | 79.052632 | 0 |
| 4236 | 0 | 52 | 2.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 269.0 | 133.5 | 83.0 | 21.47 | 80.0 | 107.000000 | 0 |